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master's thesis
Kvalitativni pristup procjeni rizika u autonomnoj navigaciji
2019. urn:nbn:hr:187:595145
Živković, Martina
University of Rijeka
Faculty of Maritime Studies, Rijeka
Department of Marine Engineering and Ship Power Systems

Cite this document

Živković, M. (2019). Kvalitativni pristup procjeni rizika u autonomnoj navigaciji (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:595145

Živković, Martina. "Kvalitativni pristup procjeni rizika u autonomnoj navigaciji." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2019. https://urn.nsk.hr/urn:nbn:hr:187:595145

Živković, Martina. "Kvalitativni pristup procjeni rizika u autonomnoj navigaciji." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2019. https://urn.nsk.hr/urn:nbn:hr:187:595145

Živković, M. (2019). 'Kvalitativni pristup procjeni rizika u autonomnoj navigaciji', Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, accessed 13 September 2024, https://urn.nsk.hr/urn:nbn:hr:187:595145

Živković M. Kvalitativni pristup procjeni rizika u autonomnoj navigaciji [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka; 2019 [cited 2024 September 13] Available at: https://urn.nsk.hr/urn:nbn:hr:187:595145

M. Živković, "Kvalitativni pristup procjeni rizika u autonomnoj navigaciji", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:187:595145

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Metadata
TitleKvalitativni pristup procjeni rizika u autonomnoj navigaciji
Title (english)Qualitative approach to risk assesment in autonomous navigation
AuthorMartina Živković
MentorMarko Valčić (mentor)
Committee memberVinko Tomas (predsjednik povjerenstva)
Committee memberDragan Martinović (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
(Department of Marine Engineering and Ship Power Systems)
Rijeka
Defense date and country2019-10-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Očekivane prednosti autonomnih pomorskih sustava u usporedbi s konvencionalnim pomorskim sustavima su smanjeni operativni troškovi, manji rizik za operatere i povećana učinkovitost takvih sustava. Teško je procijeniti rizik novih tehnoloških sustava radi nepostojanja iskustva s tim sustavima i stoga nisu dostupni podaci za evaluaciju. Tri izazova u vezi s procjenom rizika složenih autonomnih pomorskih sustava su uključivanje softvera u procjenu rizika tehnoloških sustava, procjena uloge ljudskih operatera koji će nadzirati autonomne pomorske sustave i intervenirati ako je potrebno te dinamičnost morskog okoliša, odnosno vrijeme i stanje mora, koje je stalno promjenjivo. U radu je predstavljena Bayesova mreža kako bi se procijenila učinkovitost suradnje između čovjeka i autonomije, kao dio modela rizika za rad podvodnih autonomnih vozila. Preko Bayesove mreže prikazana je i procjena rizika u autonomnoj navigaciji s aspekta sigurnosti. Na kraju je preko modela prikazana procjena rizika za današnje brodove i brodove koji su autonomni s mogućnošću daljinskog upravljanja kako bi se vidjela razlika u upravljanju. Na današnjim brodovima upravljanje vrši posada na brodu, dok rad autonomnog broda nadzire operater daljinski s obale.
Abstract (english)
Expected benefits of autonomous marine system in comparison to conventional marine systems are reduced operational cost, reduced risk for operators, and increased efficiency of such systems. Risk assessment of new technological systems are difficult because there has been no experience with these systems and no data available for evaluation. Three challenges with respect to the risk assessment of complex autonomous marine systems are inclusion of software in risk assessment of technological systems, assessing the role of the human operators who will supervise if necessary, and dynamic marine environment, weather and sea state, which is constantly changing. This paper presents a Bayesian network in order to evaluate the human-autonomy collaboration performance as part of a risk model for autonomous underwater vehicle operation. The Bayesian network also presents a risk assessment of autonomous navigation from a safety perspective. Finally, the model presents a risk assessment for today's vessels and autonomous ship with remote control capability, in order to emphasize the difference in management and control. Today's vessels are controlled by the crew while the autonomous ship is supervised remotely from the shore.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:595145
Study programmeTitle: Marine Engineering and Maritime Transport Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka brodostrojarstva i pomorske tehnologije (magistar/magistra inženjer/inženjerka brodostrojarstva i pomorske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-11-15 10:16:18